Triple

T9427746
Position Surface form Disambiguated ID Type / Status
Subject Reputation Stadium Tour E227297 entity
Predicate openingAct P6965 FINISHED
Object Charli XCX E339738 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Charli XCX | Statement: [Reputation Stadium Tour, openingAct, Charli XCX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charli XCX
Context triple: [Reputation Stadium Tour, openingAct, Charli XCX]
  • A. Charli XCX chosen
    Charli XCX is a British pop singer, songwriter, and producer known for her experimental, genre-blending approach to mainstream and hyperpop music.
  • B. Charli
    Charli is a common diminutive or nickname for the given name Charlene.
  • C. Tove Lo
    Tove Lo is a Swedish singer-songwriter and pop artist known for her candid, emotionally raw lyrics and hits like "Habits (Stay High)."
  • D. Doja Cat
    Doja Cat is an American rapper, singer, songwriter, and producer known for her genre-blending pop and hip-hop hits, viral online presence, and visually inventive music videos.
  • E. Ann-Marie
    Ann-Marie is the protagonist of the novel "Eat My Heart Out," a young woman navigating chaotic relationships and identity in contemporary London.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca8436ba308190903e470776d2d893 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd7c91ba1c8190b8331fb1ba58cc61 completed April 1, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1102f93488190bd1ae232c1e34830 completed April 4, 2026, 1:20 p.m.
Created at: March 30, 2026, 7:49 p.m.